Hasil untuk "Photography"

Bennett Wilburn, Neel Joshi, Vaibhav Vaish et al.

R. Datta, D. Joshi, Jia Li et al.

D. Papamoschou, A. Roshko

Caroline C. Wang, M. Burris

Laura Kowalczuk, Rémy Dornier, Aurélie Navarro et al.

Adaptive optics-transscleral flood illumination (AO-TFI) is a novel imaging technique with potential for detecting retinal pigment epithelium (RPE) changes in dry age-related macular degeneration (AMD). This single-center prospective study evaluated its ability to visualize pathological features in AMD. AO-TFI images were acquired using the prototype Cellularis^® camera over six 5 × 5° macular zones in patients with good fixation and no exudative changes. Conventional imaging modalities, including spectral-domain optical coherence tomography (OCT), color fundus photography and fundus autofluorescence, were used for comparison. AO-TFI images were correlated with OCT using a custom method (Fiji software, v. 2.9). Eleven eyes of nine patients (70 ± 8.3 years) with early (n = 5), intermediate (n = 1) and atrophic (n = 5) AMD were analyzed. AO-TFI identified relevant patterns in dry AMD. RPE cell visibility was impaired in affected eyes, but AO-TFI distinguished cuticular drusen with hyporeflective centers and bright edges, large ill-defined drusen and stage 3 subretinal drusenoid deposits as prominent hyperreflective spots. It provided superior resolution for small drusen compared to OCT and revealed crystalline structures and hyporeflective dots in atrophic regions. Atrophic borders remained isoreflective unless RPE displacement was absent, allowing precise delineation. These findings highlight AO-TFI’s potential as a sensitive imaging tool for characterizing early AMD and clinical research.

Joonyeoup Kim, Yu Yuan, Xingguang Zhang et al.

Photography is the cornerstone of modern astronomical and space research. However, most astronomical images captured by ground-based telescopes suffer from atmospheric turbulence, resulting in degraded imaging quality. While multi-frame strategies like lucky imaging can mitigate some effects, they involve intensive data acquisition and complex manual processing. In this paper, we propose AstroDiff, a generative restoration method that leverages both the high-quality generative priors and restoration capabilities of diffusion models to mitigate atmospheric turbulence. Extensive experiments demonstrate that AstroDiff outperforms existing state-of-the-art learning-based methods in astronomical image turbulence mitigation, providing higher perceptual quality and better structural fidelity under severe turbulence conditions. Our code and additional results are available at https://web-six-kappa-66.vercel.app/

Irene Caravita

Iole de Freitas (1945) is a Brazilian artist who, escaping a totalitarian regime, set up in Milano between 1970 and 1978, initially working for Olivetti. During 1972 she began to experiment with photography and video, making short films in super 8 in color and intricate photographic series, which she exhibited for the first time in June 1973 at the Diagramma gallery, run by Luciano Inga-Pin, opening a decade filled with invitations to major exhibitions devoted to new media, body art and feminist art. Indeed, she catch the attention of the critics and curators Anne Marie Sauzeau, Romana Loda and Barbara Radice, with works that show a meticulous and slow process of analyzing her own body, thanks to the camera's eye and other reflective tools such as mirrors, metal objects and knives. They are works in which her woman-being is central, yet they escape an explicit definition of feminist art. Therefore, I propose to rethink the works of de Freitas taking into account this ambiguity, which underlies questions that have never been resolved. In addition to the international bibliography, but considering the absence of archival sources, a prolonged conversation with the artist has been vital, especially to focus on the radical change in her artistic practice upon returning to Brazil.

Bowen Liu, Jiawei Ji, Cancan Tao et al.

Despite the considerable success of deep learning methods in stereo matching for binocular images, the generalizability and robustness of these algorithms, particularly under challenging conditions such as occlusions or degraded infrared textures, remain uncertain. This paper presents a novel deep-learning-based depth optimization method that obviates the need for large infrared image datasets and adapts seamlessly to any specific infrared camera. Moreover, this adaptability extends to standard binocular images, allowing the method to work effectively on both infrared and visible light stereo images. We further investigate the role of infrared textures in a deep learning framework, demonstrating their continued utility for stereo matching even in complex lighting environments. To compute the matching cost volume, we apply the multi-scale census transform to the input stereo images. A stacked sand leak subnetwork is subsequently employed to address the matching task. Our approach substantially improves adversarial robustness while maintaining accuracy on comparison with state-of-the-art methods which decrease nearly a half in EPE for quantitative results on widely used autonomous driving datasets. Furthermore, the proposed method exhibits superior generalization capabilities, transitioning from simulated datasets to real-world datasets without the need for fine-tuning.

Qingyan Bai, Hao Ouyang, Yinghao Xu et al.

As a verified need, consistent editing across in-the-wild images remains a technical challenge arising from various unmanageable factors, like object poses, lighting conditions, and photography environments. Edicho steps in with a training-free solution based on diffusion models, featuring a fundamental design principle of using explicit image correspondence to direct editing. Specifically, the key components include an attention manipulation module and a carefully refined classifier-free guidance (CFG) denoising strategy, both of which take into account the pre-estimated correspondence. Such an inference-time algorithm enjoys a plug-and-play nature and is compatible to most diffusion-based editing methods, such as ControlNet and BrushNet. Extensive results demonstrate the efficacy of Edicho in consistent cross-image editing under diverse settings. We will release the code to facilitate future studies.

Serap Bilge Çeper, Filiz Afrashi, Cumali Değirmenci et al.

Objectives:To investigate the presence and prevalence of reticular pseudodrusen (RPD) in patients with age-related macular degeneration using multiple imaging modalities and to compare the sensitivity and specificity of these modalities in the detection of RPD.Materials and Methods:Images from a total of 198 consecutive patients were analyzed prospectively. Color fundus photography, red-free imaging, spectral domain optical coherence tomography (SD-OCT), infrared and blue reflectance (BR) imaging, fundus autofluorescence (FAF), enhanced-depth imaging OCT (EDI-OCT), fundus fluorescein angiography (FFA) and indocyanine green angiography were performed. RPD was diagnosed in the presence of relevant findings in at least two of the imaging methods used.Results:RPD were detected in 149 eyes (37.6%). In the detection of RPD, color fundus photography, red-free photography, SD-OCT, infrared, FAF, BR, and FFA imaging had sensitivity values of 50%, 57.7%, 91.6%, 95%, 74.6%, 65.7%, and 28.2% and specificity values of 99.6%, 100%, 98.4%, 94.6%, 100%, 99.6%, and 69.8%, respectively.Conclusion:Infrared imaging had the highest sensitivity. SD-OCT combined with infrared imaging was the most sensitive imaging technique for detecting RPD. The high specificity of FAF, red-free, and BR imaging may be useful to confirm a diagnosis of RPD.

Haleh Valizadeh-Haghi, Safa Valizadeh-Haghi, Nasim Naslseraji et al.

Objective. Today, teledentistry have gain more attention than past due to the advances in technology. The aim of this study was to compare the use of smartphone photography as a method in teledentistry with the face-to-face examination in the evaluation of anterior composite restorations. Materials and Methods. In this study, photographs of 24 composite restorations in patients attended to the clinic of Ardabil Dental School were obtained using a smartphone without any additional equipment and sent by email to 10 remote observers. As a gold standard method, these restorations were evaluated by an experienced expert in restorative dentistry a face-to-face examination. In both methods FDI criteria were used to evaluate the restorations and classified them as acceptable or not. Sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy of the photographic method relative to face-to-face method were calculated. Furthermore the Mann–Whitney U test was used to statistically compare the two methods in detail. Results. The sensitivity, specificity, positive predictive value, and negative predictive value of the smartphone photography method was 69.35%, 48.72%, 87.34%, and 23.75%, respectively. A diagnostic accuracy of 65.97% was obtained. Statistically, in overall the photographic method rated the restorations as better than they were in reality (face-to-face examination) (p=0.002). Conclusions. The diagnostic accuracy of the method of evaluating anterior composite restorations by smartphone photography was moderate and the use of this method in teledentistry, although was promising, needs to be improved.

C. Emilia

Introduction Considering the development of this study, we selected cases where art therapy played a central role in the educational/therapeutic process. Studied 130-150 cases per year on average, for 25 years (1996-2021), including children and adolescents aged between 2 and 18 years of both sexes, different social backgrounds in terms of housing, culture, and education: education/ clinical art therapy ( Mental Health Center for Children and Adolescents ward of the Cluj-Napoca Children’s Emergency Hospital) and non-clinical education/art-therapy. The activities also have components of artistic creation, research, and teaching with students, within the disciplines “Art therapy in institutional contexts” and “Artistic play and experiment in group dynamics”, within the University of Art and Design section Pedagogy of Plastic and Decorative Arts from Cluj-Napoca Romania. The results are published at the international and world congresses to which we were invited together with the practitioners under supervision. Objectives The aims of occupational therapy, which include art therapy and play therapy, are to facilitate the use of creative process and symbolic communication, associated with narrative and imitation, to develop new ways of communication, self-expression and seeing things. Methods We use materials and techniques that are specific to visual arts (painting, sculpture, graphic, multimedia, photography, film, animation, and digital media), but also traditional ones, specific to tridimensional arts, such as pottery wheels and sculptural modeling. Activities are structured according to the following dimensions: • The making of art or the production of other crafts resembles a situation test • The analysis of the products allows the beneficiaries to attain a certain level of introspection and to “work through” their problems in constructive manner • The execution of an operation requires sensory, cognitive, and affective intervention; • Psychological dimensions, which include the individual’s intrinsic need for self-improvement, for obtaining competence and self-knowledge; • The socio-cultural and symbolic dimension of the act; • The spiritual dimension, related to the meaning of the occupation for the individual; • The temporal dimensions of the occupation (referring to the time or period of time required for recovery). Results By interacting with these factors, the individual gets to know his own potential and limits, but also those of the environment in which he lives. Image: Image 2: Conclusions An equidistant trialogue and circular relations between art, religion and science, without any specific supremacy, is created, which can offer from the start the possibility of lasting harmonizations, of informational transfers and professional enhancements that support developments, ennobling the human being through positive reorientations and beneficial recoveries. Disclosure of Interest None Declared

Arijit Mallick, Raphael Braun, Hendrik PA Lensch

With the advent of mobile phone photography and point-and-shoot cameras, deep-burst imaging is widely used for a number of photographic effects such as depth of field, super-resolution, motion deblurring, and image denoising. In this work, we propose to solve the problem of deep-burst image denoising by including an optical flow-based correspondence estimation module which aligns all the input burst images with respect to a reference frame. In order to deal with varying noise levels the individual burst images are pre-filtered with different settings. Exploiting the established correspondences one network block predicts a pixel-wise spatially-varying filter kernel to smooth each image in the original and prefiltered bursts before fusing all images to generate the final denoised output. The resulting pipeline achieves state-of-the-art results by combining all available information provided by the burst.

Elnatan Kadar, Jonathan Brokman, Guy Gilboa

We present a new model, training procedure and architecture to create precise maps of distinction between two classes of images. The objective is to comprehend, in pixel-wise resolution, the unique characteristics of a class. These maps can facilitate self-supervised segmentation and objectdetection in addition to new capabilities in explainable AI (XAI). Our proposed architecture is based on image decomposition, where the output is the sum of multiple generative networks (branched-GANs). The distinction between classes is isolated in a dedicated branch. This approach allows clear, precise and interpretable visualization of the unique characteristics of each class. We show how our generic method can be used in several modalities for various tasks, such as MRI brain tumor extraction, isolating cars in aerial photography and obtaining feminine and masculine face features. This is a preliminary report of our initial findings and results.

Alessandra Di Maio

The small island of Lampedusa, a key destination of the Central Mediterranean Route connecting Africa to Italy, offers a special observatory on the contemporary trans-Mediterranean odyssey of migrants, although often transformed into a “border spectacle.” Upon landing, migrants are stripped of their belongings, as these are impounded by the authorities. Such an act of dispossession is intended to deprive them of their histories, family ties and cultural identity. Photographer Mario Badagliacca has portrayed a selection of these lost and retrieved items in his work Fragments (2013). Each object reveals expectations, fears, desires, endurance, but cannot tell a full story. They are fragments of an open-ended narrative that requires to be framed and told, if we wish to gain a better understanding of the Black Mediterranean, its history, and consequences. What remains untold can only be imagined. Writer Maaza Mengiste imagines what lies behind two smudged photographs portrayed by Badagliacca. As always, the force of imagination provides signification, solidarity, and survival in the fractured history of the African Diaspora.

Sorn Sooksatra, Sitapa Watcharapinchai

Temporal-action proposal generation (TAPG) is a well-known pre-processing of temporal-action localization and mainly affects localization performance on untrimmed videos. In recent years, there has been growing interest in proposal generation. Researchers have recently focused on anchor- and boundary-based methods for generating action proposals. The main purpose of this paper is to provide a comprehensive review of temporal-action proposal generation with network architectures and empirical results. The pre-processing step for input data is also discussed for network construction. The content of this paper was obtained from the research literature related to temporal-action proposal generation from 2012 to 2022 for performance evaluation and comparison. From several well-known databases, we used specific keywords to select 71 related studies according to their contributions and evaluation criteria. The contributions and methodologies are summarized and analyzed in a tabular form for each category. The result from state-of-the-art research was further analyzed to show its limitations and challenges for action proposal generation. TAPG performance in average recall ranges from 60% up to 78% in two TAPG benchmarks. In addition, several future potential research directions in this field are suggested based on the current limitations of the related studies.

John Holgate

The recent rise in radiographic and photographic technology in the examination and interpretation of works of art—which has accompanied the digitization of artistic creativity in the contemporary world—has greatly enhanced the power of the naked eye to view and understand the masterpieces of the past. Through modern ‘digital telescopes’ a new breed of art scientists has emerged to both enhance and challenge traditional art scholarship. In this paper, I will first review some of the major projects in this new field of informational aesthetics and provide examples, from the impressive discoveries of Maurizio Seracini and Pascal Cotte, to the magnificent photographic examination of the Ghent Altarpiece by Van der Snickt and his team at the National Gallery of Art in Washington. Secondly, I will present the results of my own three-year exploration of Leonardo da Vinci’s extant paintings and drawings using photographic magnification, leading to the identification of recurrent autographic images and motifs only visible through the lens of a digital camera. Finally, I will discuss the implications of these studies in the philosophy of photography, the world of art and the future of digital humanism.

Renata Jóźwik, Anna Jóźwik

The manipulation of landscape and the technological use of its views can be a strategy for place-making and a way of creating architecture and making it original. The methods used for this can be different, for example, by mechanically revealing and obscuring views, optical or film projection, directing the viewer to specific frames, using mirrors, etc. This approach is alternative and somewhat in opposition to the natural incorporation of the object into the landscape. In modernism, different architectural views of the surroundings were tested and used differently. These experiences are now transposed to contemporary architectural objects thanks to technological developments and the scenographic shaping of space. The article refers to the sources of transferring landscape views in popular dioramas and the effects of the development of photography, cinematography, and IT media. It describes the possible consequences of perceiving such a created landscape and more general—the world. An example of such a means of expression being fully and consciously taken is the now-defunct Charles de Beistegui Paris apartment. It was designed by Le Corbusier and Pierre Jeanneret in 1929–1931. The apartment was selected for analysing as a case study and confronted with contemporary realisations that use various creative techniques involving the landscape.

Bekkouch Imad Eddine Ibrahim, Victoria Eyharabide, Valérie Le Page et al.

Detecting objects with a small representation in images is a challenging task, especially when the style of the images is very different from recent photos, which is the case for cultural heritage datasets. This problem is commonly known as few-shot object detection and is still a new field of research. This article presents a simple and effective method for black box few-shot object detection that works with all the current state-of-the-art object detection models. We also present a new dataset called MMSD for medieval musicological studies that contains five classes and 693 samples, manually annotated by a group of musicology experts. Due to the significant diversity of styles and considerable disparities between the artistic representations of the objects, our dataset is more challenging than the current standards. We evaluate our method on YOLOv4 (m/s), (Mask/Faster) RCNN, and ViT/Swin-t. We present two methods of benchmarking these models based on the overall data size and the worst-case scenario for object detection. The experimental results show that our method always improves object detector results compared to traditional transfer learning, regardless of the underlying architecture.

James P. Crutchfield, Alexandra M. Jurgens

Over several days in early August 2021, while at sea in Chatham Strait, Southeast Alaska, aboard M/Y Blue Pearl, an online twitch.tv stream broadcast in real-time humpback whale vocalizations monitored via hydrophone. Dozens on mainland North American and around the planet listened in and chatted via the stream. The webcasts demonstrated a proof-of-concept: only relatively inexpensive commercial-off-the-shelf equipment is required for remote mobile streaming at sea. These notes document what was required and make recommendations for higher-quality and larger-scale deployments. One conclusion is that real-time, automated audio documenting whale acoustic behavior is readily accessible and, using the cloud, it can be directly integrated into behavioral databases -- information sources that now often focus exclusively on nonreal-time visual-sighting narrative reports and photography.